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The complexity and nuance of how social networks shape dietary behaviours and health dynamics remain underexplored, particularly in collectivist societies where family and peer relationships strongly impact health. This study applies social network analysis to examine these dynamics in Singapore.
Design:
An online household survey of young adults (age 21–35) and family (21+) assessed the consumption of healthy food groups (fruit, vegetable intake), unhealthy food groups (fast food, snack consumption) and social network characteristics (interaction frequency, emotional closeness, shared meals and perceived health influence). Data were analysed using network analysis, mixed regression models and generalised estimating equations.
Setting:
Online Singaporean household survey.
Results:
Among 116 participants from thirty-six households, 345 unique individuals and 1145 dyadic relationships were identified, with networks averaging 9·7 nodes (sd: 4·7) and 33·2 edges (sd: 27·3). Mutual health influence was strongest in spousal (β = 0·89, 95 % CI: 0·42, 1·35) and intergenerational ties (older-to-younger: β = 0·62, 95 % CI: 0·29, 0·94; younger-to-older: β = 0·36, 95 % CI: 0·03, 0·68) and associated with emotional closeness (β = 0·38, 95 % CI: 0·30, 0·46) and shared meals (β = 0·43, 95 % CI: 0·36, 0·49). Greater family health effort correlated with lower snack (Adjusted Odds Ratio [AOR]: 0·50, 95 % CI: 0·29, 0·85) and fast-food consumption (AOR: 0·41, 95 % CI: 0·22, 0·77), while higher perceived family health associated with increased snack intake (AOR: 3·21, 95 % CI: 1·58, 6·52). Frequent meals with friends associated with lower fast-food intake (AOR: 0·50, 95 % CI: 0·30, 0·84), but no associations with fruit or vegetable intake were found.
Conclusion:
Findings highlight intergenerational and spousal ties as key health influencers, particularly through shared meals, and the complex role of social networks in shaping diet. Analyses suggest network-based interventions may be more useful in reducing unhealthy rather than promoting healthy eating behaviours.
Drug use among young women has severe consequences for their mental health, increases their developmental vulnerability and highlights the global problem of drug addiction. The purpose of this study was to investigate the socioeconomic and psychological factors influencing drug use among young women in Khyber Pakhtunkhwa, Pakistan. The study used a qualitative research design. We collected data from 12 women aged 18–21 years via in-depth qualitative interviews conducted in Mardan and Peshawar from March to June 2022. Research shows that young women frequently use drugs due to peer pressure, emotional challenges and financial concerns, which significantly impact their lives. The study emphasizes the value of cultural intervention programs for young women, concentrating on the region’s mental health services, economic empowerment and gender-specific peer support networks.
Adolescence is marked by both normative changes in neural systems associated with emotion and increased sensitivity to social influences, especially from peers. Whereas the influences of caregiver emotion socialization practices on the emotional development of youths are well-studied, less is understood about how socialization through peer contexts impacts adolescents’ emotions. In this chapter, we first describe the neurobiological shifts that influence emotional processing during this developmental stage. We then review a growing literature linking caregiver and peer socialization to the development of emotion and related neurocircuitry. To emphasize the role of individual differences in emotional development, we situate these literatures within the differential susceptibility framework, which recognizes that adolescents’ neural sensitivity to social information may alter the degree to which caregiver and peer influences modulate emotional behaviors, skills, and experiences. We conclude by describing several perspectives for this emerging area of research, bridging developmental, social, and affective neuroscience.
Political participation has long been viewed as a social act. But the influence of social relationships on participation is often impossible to disentangle from the factors that select people into these relationships. To overcome this challenge, we study randomly assigned college roommates, thus reducing these selection biases and other confounds. We examine short-run social influence of roommates on voter participation in 2016 and longer-term effects in the 2018 and 2020 elections. We collected consent from over 2,000 first-year students, allowing us to obtain a matched voter file indicating which students voted and the public voting histories of students’ parents, an indicator of students’ pre-college political environment socialization. Our evidence suggests that roommates’ influence on turnout decisions rivals the association between students’ turnout and that of their parents. Yet this parity masks gender differences. For women, the effect of roommates is larger. For men, the student-parent association exceeds the roommate effect.
Describe the social, cognitive, and biological influences on adolescent decision-making; understand the risk and reward systems of the brain and how these can be influenced by different contexts; evaluate the roles of peer groups, executive functions, and sex differences in adolescent behaviour.
The ways that psychopathology manifests in adolescence have shifted dramatically over the past twenty-five years, with rates of many externalizing behaviors declining substantially while rates of anxiety and depressive disorders have skyrocketed. This paper argues that understanding these changes requires rethinking the field’s historically somewhat negative views of intense peer connections, peer influences, and adolescent risk-taking behavior. It is argued that intense peer connections are critical to development, and that peer influence and risk taking have important, often overlooked, adaptive components. The shift in observed manifestations of adolescent psychopathology over this period can be viewed at least partly in terms of a shift away from strong peer connections and toward greater risk aversion. Implications for research and intervention based on a focus on the adaptive aspects of peer influences and risk taking are discussed.
To test the hypothesis that exposure to peer self-harm induces adolescents’ urges to self-harm and that this is influenced by individual suggestibility.
Methods:
We recruited 97 UK-based adults aged 18–25 years with a recent history of self-harm, measuring baseline suggestibility (Resistance to Peer Influence; RPI) and perceived ability to control urges to self-harm (using an adapted item from the Self-Efficacy to Resist Suicidal Action scale; SEASA) before and after two self-harm vignettes featuring named peers from the participant’s social network (to simulate exposure to peer non-suicidal self-harm) and after a wash-out exposure. We used paired t-tests to compare mean SEASA scores pre- and post-exposure, and linear regression to test for an association between RPI and change in SEASA scores pre- and post-exposure.
Results:
Perceived ability to control urges to self-harm was significantly reduced following exposure to peer self-harm (t(96) = 4.02, p < 0.001, mean difference = 0.61; 95% CI = 0.31, 0.91), but was not significantly different from baseline after exposure to a wash-out. We found no association between suggestibility and change in urges to self-harm after exposure to peer self-harm.
Conclusion:
Our findings support social influences on self-harm in a sample of young adults, regardless of their individual degree of suggestibility.
Connectionist approaches to social networks often speak of flows of ideas, attitudes, and behaviors through ties as social influence and as peer influence in the specific case of flows among friends and acquaintanceships. Modeling social influence is no easy task. How do we determine where a particular idea came from in a network and who influenced whom? In establishing the presence of social influence, a researcher must theoretically and empirically address many potentially confounding factors and alternate explanations. In the previous chapter, we covered network approaches to generic flows at scale. In this chapter, we more thoroughly cover some of the thorny issues involved in tracing interpersonal influences and key modeling strategies in obtaining more detailed views of what flows and to whom.
Coping refers to the multitude of actions individuals use to manage stressful encounters. In this chapter, we first describe stressful peer events during childhood and adolescence (e.g., bullying, rejection, victimization), focusing on their impact on mental health but also how they can provide opportunities to apply coping skills. Second, we address how peer relationships, at the group and the dyadic level, are prime settings for the development of coping by considering 1) the soothing and distracting presence of peers, 2) the selection of peers, and 3) the socialization of emotion and coping that can occur within peer interactions and relationships via processes of support, communication, and disclosure. We end with brief notes on the important consideration of the quality of peer relationships and the usefulness of considering gender (and cultural) differences, especially focusing on moderation effects to uncover whether these processes differ across gender and cultural subgroups.
The current study investigated in-the-moment links between adolescents’ autonomic nervous system activity and susceptibility to three types of peer influence (indirect, direct, continuing) on two types of behavior (antisocial, prosocial). The sample included 144 racially ethnically diverse adolescents (46% male, 53% female, 1% other; Mage = 16.02 years). We assessed susceptibility to peer influence behaviorally using the Public Goods Game (PGG) while measuring adolescents’ mean heart rate (MHR) and pre-ejection period (PEP). Three key findings emerged from bivariate dual latent change score modeling: (1) adolescents whose MHR increased more as they transitioned from playing the PGG alone (pre-influence) to playing while simply observed by peers (indirect influence) displayed more prosocial behavior; (2) adolescents whose PEP activity increased more (greater PEP activity = shorter PEP latency) as they transitioned from indirect influence to being encouraged by peers to engage in antisocial behavior (direct influence) engaged in more antisocial behavior; and (3) adolescents whose PEP activity decreased less as they transitioned from direct influence on prosocial behavior to playing the PGG alone again (continuing influence) displayed more continuing prosocial behavior (marginal effect). The discussion focuses on the role of psychophysiology in understanding adolescents’ susceptibility to peer influence.
Social media platforms have established themselves as one of the primary ways adolescents interact with and observe their peers. Several features of social media (e.g., availability, asynchronicity, permanence) may transform the way that adolescents interact with their peers. This chapter reviews the features of social media that may shape peer relationships on these platforms, focusing on three important aspects of peer relationships in adolescents: peer influence, social connection versus isolation, and popularity/status). Peer influence is likely amplified in social media, as adolescents are able to view (and be viewed by) their entire peer network at any time. The impact this has on adolescents’ perceptions and use of substances is discussed. Although social media are inherently relationship oriented, there has been debate on whether these platforms facilitate or undermine meaningful connection with peers. The differential role of active versus passive use is discussed. Finally, this chapter examines how social media promote an emphasis on popularity and presenting a curated self-image. The chapter will conclude with a discussion of the challenges and opportunities that social media presents for researchers, and future directions for researchers to understand how these media impact adolescents’ peer relationships.
This chapter reviews evidence of the relationships between digital media use habits and brain development. Much of this evidence comes from studies using magnetic resonance imaging (MRI), which allows the characterization of brain structure, function, and connectivity patterns differentiating groups of individuals more enmeshed with forms of digital media from those less inclined towards digital habits. Corroborative data from brain electrical activity patterns (electroencephalography) informs interpretation of the MRI-based findings. Work using brain imaging methods is scant for earlier periods of development (childhood and early adolescence), challenging the construction of detailed developmental timeline. Evidence on links between digital media behaviors and the brain in late adolescence and young adulthood identify brain systems relevant in forming and maintaining digital media habits. The findings draw attention to neural networks and brain regions integral to exert self-regulatory control over behavior, interpreting the reinforcement of environmental rewards, and forming mental representations of social interactions.
Substance use, aggression/violence, delinquency, and risky sexual behaviors emerge and peak during adolescence, as teens enter new social and digital ecologies. This chapter reviews the literature on the co-occurrence and mutual influences between adolescent digital media use and engagement in online and offline health risk behaviors, with attentions to the mechanisms underlying these associations. Research suggests the quantity of time adolescents spend online is less important than the quality of how they spend that time, and that many well-documented peer influence processes (first studied in face-to-face peer interactions) are also emerging in online spaces. Shared vulnerabilities, peer selection, peer socialization, and identity development are important mechanisms helping us understand why adolescents engage in online and offline risk taking (and thus potential targets of interventions to reduce risk processes). This chapter highlights directions for future research, emphasizing longitudinal and experimental designs to improve causal inference and testing directionality of effects.
To test the effectiveness of a social network intervention (SNI) to improve children’s healthy drinking behaviours.
Design:
A three-arm cluster randomised control trial design was used. In the SNI, a subset of children were selected and trained as ‘influence agents’ to promote water consumption–as an alternative to sugar-sweetened beverages (SSB)–among their peers. In the active control condition, all children were simultaneously exposed to the benefits of water consumption. The control condition received no intervention.
Setting:
Eleven schools in the Netherlands.
Participants:
Four hundred and fifty-one children (Mage = 10·74, SDage = 0·97; 50·8 % girls).
Results:
Structural path models showed that children exposed to the SNI consumed 0·20 less SSB per day compared to those in the control condition (β = 0·25, P = 0·035). There was a trend showing that children exposed to the SNI consumed 0·17 less SSB per day than those in the active control condition (β = 0·20, P = 0·061). No differences were found between conditions for water consumption. However, the moderation effects of descriptive norms (β = –0·12, P = 0·028) and injunctive norms (β = 0·11–0·14, both P = 0·050) indicated that norms are more strongly linked to water consumption in the SNI condition compared to the active control and control conditions.
Conclusions:
These findings suggest that a SNI promoting healthy drinking behaviours may prevent children from consuming more SSB. Moreover, for water consumption, the prevailing social norms in the context play an important role in mitigating the effectiveness of the SNI.
Smoking is a major cause of worldwide morbidity and mortality. Almost no evidence-based intervention programs are available to help youth quit smoking. We argue that ineffective targeting of peer influence and engagement difficulties are significant barriers to successful youth smoking cessation. To address these barriers, we developed the mobile game intervention HitnRun. A two-armed randomized controlled trial (RCT; n = 144) was conducted and young smokers (Mage = 19.39; SDage = 2.52) were randomly assigned to either play HitnRun or read a psychoeducational brochure. Prior to, directly following the intervention period, and after three-month follow-up, weekly smoking behavior, abstinence rates, intervention dose, and peer- and engagement-related factors were assessed. Results indicated similar reductions in weekly smoking levels and similar abstinence rates for both groups. Yet, we found a dose effect with HitnRun only: The longer participants played HitnRun, the lower their weekly smoking levels were. In the brochure group, a higher dose was related to higher weekly smoking levels at all measurement moments. Exploratory analyses showed the most powerful effects of HitnRun for participants who connected with and were engaged by the intervention. Future work should build on the promising potential of HitnRun by increasing personalization efforts and strengthening peer influence components.
Adolescent association with deviant and delinquent friends was examined for its roots in coercive parent–teen interactions and its links to functional difficulties extending beyond delinquent behavior and into adulthood. A community sample of 184 adolescents was followed from age 13 to age 27, with collateral data obtained from close friends, classmates, and parents. Even after accounting for adolescent levels of delinquent and deviant behavior, association with deviant friends was predicted by coercive parent–teen interactions and then linked to declining functioning with peers during adolescence and greater internalizing and externalizing symptoms and poorer overall adjustment in adulthood. Results are interpreted as suggesting that association with deviant friends may disrupt a core developmental task—establishing positive relationships with peers—with implications that extend well beyond deviancy-training effects.
We examined social mechanisms that account for similarity in the social context of school-sponsored extracurricular sports activities among friends. We distinguish two social mechanisms: “shared sports activities that lead to friendship,” whereby friendship formation and maintenance are conditioned by joint sports participation, and “friendship that leads to shared sports activities,” a form of social influence whereby adolescents join or maintain certain sports activities based on their friends' choices. Using a longitudinal sample of 1,776 10th graders at five high schools in Southern California, we employed a stochastic actor-oriented multivariate dynamic model to model the dynamic interplay between the two-mode affiliation network of adolescents' participation in sports activities and the one-mode friendship network. As a corresponding descriptive method, we propose a quantitative measure for the relative strength of the two-mentioned mechanisms as explanations of the association between the one-mode and the two-mode network. Further, we introduce two specifications that represent homophily effects in the two-mode network and apply them to test gender homophily in sports participation. The results provide strong evidence for both mechanisms, with friendship leading to shared sport activities as stronger than shared sports activities leading to friendships in explaining adolescents' friendships with co-participants.
Social networks, particularly those defined by friendships, influence many childhood and adolescent health behaviors such as the use of alcohol, tobacco, and other drugs, as well as diet and physical activity. Few, if any, studies have examined the concordance between friendship networks and sun exposure/safety behaviors. This study examines the friendship networks and sun safety behaviors for a group of fourth and fifth grade students taking part in a larger sun safety intervention, “SunSmart” (n = 128). Intra-class correlation, homophily hypothesis testing, and exponential random graph models were used to test friendship homophily based on sun safety behaviors. Peer Leaders were identified through social network popularity, and sun safety change scores were compared between Peer Leaders and non-leaders. Results show that students cluster based on shared demographic characteristics and some sun safety behaviors, and that there was a trend for Peer Leaders to respond better to the SunSmart intervention than non-leaders. Implications for future sun safety interventions using Peer Leaders as champions for sun safety behavior change are discussed.
This study addressed the role of influencer and influencee peer status in social influence of status-unrelated behaviours among emerging adults, while disentangling two forms of peer status, being liked (preference) and being powerful (popularity). Peer influence was examined in 67 women (M age = 20.5 years, SD = 2.1 years) using an experimental design. Popularity of the influencers and influencees (participants), as well as influencees’ preference and self-esteem were considered. Peer influence was measured through imitation of status-unrelated behaviours and task partner choice. In both tasks, influencees moved away from, rather than towards, a popular peer. Popular young women with low self-esteem were most likely to imitate a popular peer. Unpreferred young women with high self-esteem were least likely to imitate a popular peer. The findings demonstrate that the role of peer status in social influence processes is not limited to adolescence, and that the peer status of influencers and the influencees continues to affect social influence on status-unrelated behaviour in emerging adulthood.
In the present study, we examined the association between maternal education and unhealthy eating behaviour (the consumption of snack and sugar-sweetened beverages (SSB)) and explored environmental factors that might mediate this association in 11-year-old children. These environmental factors include home availability of snacks and SSB, parental rules about snack and SSB consumption, parental intake of snacks and SSB, peer sensitivity and children's snack-purchasing behaviour. Data were obtained from the fourth wave of the INPACT (IVO Nutrition and Physical Activity Child cohorT) study (2011), in which 1318 parent–child dyads completed a questionnaire. Data were analysed using multivariate regression models. Children of mothers with an intermediate educational level were found to consume more snacks than those of mothers with a high educational level (B= 1·22, P= 0·02). This association was not mediated by environmental factors. Children of mothers with a low educational level were found to consume more SSB than those of mothers with a high educational level (B= 0·63, P< 0·01). The association between maternal educational level and children's SSB consumption was found to be mediated by parental intake of snacks and SSB and home availability of SSB. The home environment seems to be a promising setting for interventions on reducing socio-economic inequalities in children's SSB consumption.